lovethedocs 0.2.9

LLM-powered documentation tool

lovethedocs

Polish your Python docs in 30 seconds.

Why lovethedocs?

Make your docs excellent. It takes ~30 seconds (API calls) and costs 10¢ on small repos.

• One‑command upgrades – lovethedocs update path/
• Choose your style – NumPy (default) or Google with -s/--style
• Non‑destructive – edits live in .lovethedocs/ until you accept them
• Parallel & fast – set -c/--concurrency for multiple requests at once

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Quick start

pip install lovethedocs

# 1. Get an OpenAI API key (https://platform.openai.com) and set it:
export OPENAI_API_KEY=sk-...

# 2. Stage docstrings for your project (NumPy style):
lovethedocs update path/to/project/

# ...or choose Google style and review in one shot with 8 workers:
lovethedocs update -s google -r -c 8 path/to/project/

Review & clean

lovethedocs review path/to/project/   # open diffs in your viewer
lovethedocs clean  path/to/project/   # wipe staged edits

Tested on macOS; supported diff viewers: cursor, code, git, terminal. Help adding others is welcome!

🎯 Example

Before:

def process_data(data, threshold):
    # Process data according to threshold
    result = []
    for item in data:
        if item > threshold:
            result.append(item * 2)
    return result

After:

def process_data(data: list, threshold: float) -> list:
    """
    Filter and transform data based on a threshold value.

    Parameters
    ----------
    data : list
        The input data list to process.
    threshold : float
        Values above this threshold will be processed.

    Returns
    -------
    list
        A new list containing doubled values of items that exceeded the threshold.
    """
    result = []
    for item in data:
        if item > threshold:
            result.append(item * 2)
    return result

CLI cheatsheet

Goal	Command
Update one file	lovethedocs update my_module.py
Use Google style	lovethedocs update -s google path/
Speed up (16 workers)	lovethedocs update -c 16 path/
Force terminal diff	lovethedocs review -v terminal path/

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Contributors welcome

Issues, discussions, and PRs are encouraged—especially new doc styles, diff viewers, or provider integrations. Open an issue to get started.

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lovethedocs is free to install; LLM calls are billed by OpenAI at your usage rates.

📄 License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.